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Computer Vision Machine Perception Engineer Jobs

Senior Software Perception Engineer

Pittsburgh, PA · On-site

$114K - $150K/yr

Job Title: Sr. Software Perception Engineer The Sr. Software Perception Engineer designs ... Strong understanding of computer vision, sensor fusion, and machine learning concepts applied to ...

The Video Computer Vision and Video Engineering teams are centralized applied research and engineering organizations responsible for developing real-time on-device Computer Vision, Machine Perception ...

The Video Computer Vision and Video Engineering teams are centralized applied research and engineering organizations responsible for developing real-time on-device Computer Vision, Machine Perception ...

The Video Computer Vision and Video Engineering teams are centralized applied research and engineering organizations responsible for developing real-time on-device Computer Vision, Machine Perception ...

... engineering organizations responsible for developing real-time on-device Computer Vision, Machine Perception and Image Quality technologies across Apple products. We balance research and product to ...

Showing results 21-40

Computer Vision Machine Perception Engineer information

See salary details

$31.5K

$128.8K

$193.5K

How much do computer vision machine perception engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for computer vision machine perception engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

What does a computer vision machine perception engineer do?

A Computer Vision Machine Perception Engineer designs and implements algorithms that enable computers to interpret and understand visual information from the world, such as images and videos. They work on tasks like object detection, image recognition, facial recognition, and scene understanding. Their work is crucial in developing technologies for autonomous vehicles, augmented reality, medical imaging, and robotics. These engineers often use deep learning, neural networks, and other advanced machine learning techniques to improve the accuracy and efficiency of computer vision systems.

What are the key skills and qualifications needed to thrive as a computer vision machine perception engineer?

To thrive as a Computer Vision Machine Perception Engineer, you need a strong background in computer vision, machine learning, and programming (often in Python or C++), typically supported by a degree in computer science or a related field. Experience with deep learning frameworks (such as TensorFlow or PyTorch), knowledge of image processing libraries (like OpenCV), and familiarity with GPU computing are commonly required. Strong problem-solving abilities, creativity, and effective teamwork help engineers excel in designing innovative perception systems. These skills ensure the development of robust, scalable solutions that accurately interpret visual data for real-world applications.

What are the typical collaboration dynamics between a computer vision machine perception engineer and other technical teams?

Computer Vision Machine Perception Engineers frequently collaborate with data scientists, software engineers, and hardware teams to develop, optimize, and deploy perception systems. They often work closely with data collection teams to curate and label datasets, and with algorithm engineers to integrate machine learning models into production environments. Regular cross-functional meetings and code reviews are common, ensuring alignment on project goals and seamless integration of perception modules into larger systems, such as robotics or autonomous vehicles.

What is the difference between Computer Vision Machine Perception Engineer vs Computer Vision Software Engineer?

AspectComputer Vision Machine Perception EngineerComputer Vision Software Engineer
Primary FocusDeveloping perception systems for understanding visual data, including object detection and scene understandingImplementing computer vision algorithms and software for various applications
Required SkillsMachine learning, perception algorithms, sensor data processingImage processing, algorithm development, software engineering
Work EnvironmentResearch labs, autonomous vehicles, robotics, AI companiesTech companies, software development firms, startups
Common CertificationsComputer vision, machine learning certifications, relevant degreesSoftware engineering, computer science degrees, coding certifications

While both roles involve computer vision, the Computer Vision Machine Perception Engineer specializes in perception systems and sensor data interpretation, often in autonomous or robotics contexts. The Computer Vision Software Engineer focuses on developing and implementing computer vision algorithms within software applications. Both roles require strong technical skills but differ in their primary application and focus areas.

What are popular job titles related to Computer Vision Machine Perception Engineer jobs?

For Computer Vision Machine Perception Engineer jobs, the most frequently searched job titles are:

Infographic showing various Computer Vision Machine Perception Engineer job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

Computer Vision and Machine Learning Engineer

Sunnyvale, CA • On-site

Apple
Computer and Electronic Product Manufacturing • 10K+ employees

$130K - $154K/yr

Full-time

Re-posted 11 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 684 frontline employees who took The Breakroom Quiz


Job description

The Video Computer Vision org is a centralized applied research and engineering team responsible for developing real-time on-device Computer Vision and Machine Perception technologies across Apple products. We have contributed to the algorithms driving FaceID and FaceKit in the past and more recently to the new Apple Vision Pro and Spatial Computing. As a member of the Video Computer Vision group you will perform cutting-edge artificial intelligence research that will craft the future of spatial computing.
We are looking for the right 3D Computer Vision and Machine Learning Engineer to help us take our efforts to the next level. You will be part of a community of researchers and engineers who are passionate about pushing the boundaries of what is possible with spatial media and AI. We value a culture of learning, intellectual curiosity, and exploration, and we believe that your passion and expertise will help us create revolutionary products that delight and inspire millions of people every day.
Description
We are looking for a proactive Computer Vision and Machine Learning Engineer to join our team and help design and implement algorithms for spatial media and AI. The ideal candidate should have experience with 3DCV, rendering techniques and machine learning and be passionate about bringing algorithms from research all the way to product.
In this position, you will work along side computer vision and machine learning researchers to implement world class algorithms that pushes the state of the art and resonate with our users at a personal level.
Minimum Qualifications
Proficient in C/C++, CUDA or other GPGPU
Expertise in at least one deep learning framework, eg: PyTorch, TensorFlow, or Jax
Solid foundation in 3D graphics and computer vision
Understanding of machine learning technology
Bachelor degree and a minimum of 3 years relevant industry experience
Preferred Qualifications
Swift is a plus
Be able to work independently and with others
Excellent problem-solving, critical thinking, and communication skills
Passion for cutting edge AI and spatial computing technologies and product delivery

What Apple employees say

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976